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. 2021 Jul 15;16(7):e0254841. doi: 10.1371/journal.pone.0254841

Table 2. Comparative results for time domain transformation-based data augmentation methods.

Model Permutation Slicing Time Warping Window Warping
Ave. (%) t Ave. (%) t Ave. (%) t Ave. (%) t
MLP 68.17±22.17 -3.89*** 70.00±22.51 -0.49 67.20±22.31 -5.64*** 69.73±22.50 -0.87
VGG 73.75±22.00 0.81 76.33±24.47 2.68** 75.50±20.82 1.86* 75.88±21.63 2.57**
ResNet 80.67±18.31 -1.16 81.51±17.64 0.24 79.62±19.20 -2.25** 82.32±16.93 1.99**
LSTM 49.65±26.90 -3.56*** 52.44±27.81 -0.96 51.09±27.14 -2.28** 54.41±28.23 1.73*
BLSTM 60.89±24.73 -1.38 64.60±24.01 1.93* 61.42±25.22 -0.97 62.63±24.40 0.10
LSTM-FCN 81.25±17.22 -0.74 80.30±19.27 -1.67* 78.82±18.69 -4.66*** 79.73±19.35 -1.94*

* p < 0.1,

** p < 0.05,

*** p < 0.01